Welcome to my first week posting about Remote Sensing. Remote Sensing is defined in several different ways but in the context of this course really its about observing some feature from some distance away from the feature itself, usually from an airborne or orbital sensor platform. These sensors are able to obtain photos or other imagery that can range across multiple parts of the electromagnetic spectrum from the visual like the human eye to infrared and beyond.
This first week of the course provides a introduction to visual interpretation elements. As such it involved looking at a couple different images and then selecting specific elements that correspond to particular reference criteria. All images were provided by UWF with the overall objective being to identify particular criteria in visually interpreting the images. Lets look at the first image map.
This map is centered around the image, and examined by two particular criteria; texture and tone. These are displayed in different polygonal areas as representative of a type of texture or tones. The tones are displayed in the blue scaled shapes and range from very light to very dark. The textures are shown in green hued shapes and range from very fine or smooth to very coarse. Basic definitions for these features are provided on the map. Two examples of each tone and texture have been provided in different spots across the image to show you how these criteria really intermingle and merge and interact across the entirety of the image. Lets look at our next image.
The above looks at a different aspect of the image, particularly that of identifying features within the image. This is done by analyzing 4 specific criteria; Shape and Size, Shadow, Pattern, and Association. A brief description of each is located on the map. Each criteria is also color coded byt its criteria type and labeled according to what the feature is. It's important to note that in most cases features can be identified or are aided in identification by multiple criteria. Its the combination of many different features that allow us to pull from out experience and identify an item. However with the above references, features have been identified by the criteria most specifically used in its identification. This like the race track are really a combination of both pattern, circular track, and association of no roads leading in to it, small building next to it, water tower is outside of it so its not a boundary, etc. The neighborhood is both a pattern and association of multiple houses with U shaped road pattern. The criteria really do go hand in hand.
Overall this was an interesting look at some of the base elements of photo interpretation encompassing basic features and methods to identifying elements in an image. It will be interesting to delve deeper into the aspects of remote sensing, and its applications.
This first week of the course provides a introduction to visual interpretation elements. As such it involved looking at a couple different images and then selecting specific elements that correspond to particular reference criteria. All images were provided by UWF with the overall objective being to identify particular criteria in visually interpreting the images. Lets look at the first image map.
This map is centered around the image, and examined by two particular criteria; texture and tone. These are displayed in different polygonal areas as representative of a type of texture or tones. The tones are displayed in the blue scaled shapes and range from very light to very dark. The textures are shown in green hued shapes and range from very fine or smooth to very coarse. Basic definitions for these features are provided on the map. Two examples of each tone and texture have been provided in different spots across the image to show you how these criteria really intermingle and merge and interact across the entirety of the image. Lets look at our next image.
The above looks at a different aspect of the image, particularly that of identifying features within the image. This is done by analyzing 4 specific criteria; Shape and Size, Shadow, Pattern, and Association. A brief description of each is located on the map. Each criteria is also color coded byt its criteria type and labeled according to what the feature is. It's important to note that in most cases features can be identified or are aided in identification by multiple criteria. Its the combination of many different features that allow us to pull from out experience and identify an item. However with the above references, features have been identified by the criteria most specifically used in its identification. This like the race track are really a combination of both pattern, circular track, and association of no roads leading in to it, small building next to it, water tower is outside of it so its not a boundary, etc. The neighborhood is both a pattern and association of multiple houses with U shaped road pattern. The criteria really do go hand in hand.
Overall this was an interesting look at some of the base elements of photo interpretation encompassing basic features and methods to identifying elements in an image. It will be interesting to delve deeper into the aspects of remote sensing, and its applications.
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